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Metro location and broad backend requirements increase competition.
Core backend and cloud skills are transferable, but IoT and GenAI focus increases domain specificity.
Explicit 9-12 years plus mandatory tech stack and GenAI experience makes screening highly stringent.
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Lead architecture, design, and implementation of scalable Java/Spring Boot microservices for an IoT platform supporting tens of millions of devices.
Develop and operate cloud-native distributed systems on AWS capable of handling millions of transactions per second with sub-second latencies.
Drive technical excellence, oversee use of technologies like Grails, Kafka, MongoDB, Docker, Kubernetes, and mentor engineering teams to deliver high-quality solutions.
8+ years in software design and development including design patterns, OO design, distributed systems, and microservices at scale.
5+ years experience with cloud technologies (AWS preferred) and data streaming tools like Kafka, Spark, or Flink.
Proficiency with Java/Spring Boot, Grails, MySQL, MongoDB, RabbitMQ, Kafka, Elastic Search, and containerization (Docker) with orchestration (Kubernetes).
Bachelor’s or Master’s degree in Computer Science or related field.
Experienced leader comfortable managing complex cloud-native IoT or distributed platform engineering teams at scale.
Strong hands-on expertise across full-stack Java and front-end (React.js, HTML5, AJAX) development and cloud infrastructure.
Recent practical experience (past 1–3 years) with GenAI technologies including LLM integration and prompt engineering to enhance platform capabilities.